Newform data - 32.12.a.c

Formats: - HTML - YAML - JSON - 2026-01-24T04:14:49.794344

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 4608, 'analytic_conductor': 24.586981777906843, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1]], 'atkin_lehner_string': '+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [32, 1, [31, 5], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 2, 'field_disc': 273, 'field_disc_factorization': [[3, 1], [7, 1], [13, 1]], 'field_poly': [-68, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [-279552, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007199456067616, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 64, 'hecke_ring_index_factorization': [[2, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '32.12.a.c', 'level': 32, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'minimal_twist': '32.12.a.c', 'nf_label': '2.2.273.1', 'prim_orbit_index': 1, 'qexp_display': 'q-\\beta q^{3}+7030q^{5}-66\\beta q^{7}+102405q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '11.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '32.12.a', 'trace_display': [0, 0, 14060, 0], 'trace_hash': 1867965927282877600, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.928', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.005', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.710', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.561', 'prec': 17}, {'__RealLiteral__': 0, 'data': '141.252', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [2, 0, 0, 0, 14060, 0, 0, 0, 204810, 0, 0, 0, -2364132, 0, 0, 0, 10887748, 0, 0, 0, 36900864, 0, 0, 0, 1185550, 0, 0, 0, 328092988, 0, 0, 0, 766531584, 0, 0, 0, 1080453740, 0, 0, 0, 559998644, 0, 0, 0, 1439814300, 0, 0, 0, -1519196462, 0, 0, 0, 9553038796, 0, 0, 0, -22182451200, 0, 0, 0, -14959370564, 0, 0, 0, -16619847960, 0, 0, 0, 6980972544, 0, 0, 0, -43606336236, 0, 0, 0, 50591084544, 0, 0, 0, -78070028238, 0, 0, 0, 76540868440, 0, 0, 0, 44391542900, 0, 0, 0, 209207771136, 0, 0, 0, 201406465188, 0, 0, 0, -33681501844, 0, 0, 0, 259413073920, 0, 0, 0, -198612406884, 0, 0, 0, -320696873308, 0, 0, 0, -242098937460, 0, 0, 0, 480291460442, 0, 0, 0, -678189021000, 0, 0, 0, -320083126272, 0, 0, 0, -1464041779200, 0, 0, 0, -655374106124, 0, 0, 0, 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• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, -1], [0, 0], [7030, 0], [0, 0], [0, -66], [0, 0], [102405, 0], [0, 0], [0, -1371], [0, 0], [-1182066, 0], [0, 0], [0, -7030], [0, 0], [5443874, 0], [0, 0], [0, 39675], [0, 0], [18450432, 0], [0, 0], [0, -12486], [0, 0], [592775, 0], [0, 0], [0, 74742], [0, 0], [164046494, 0], [0, 0], [0, -374184], [0, 0], [383265792, 0], [0, 0], [0, -463980], [0, 0], [540226870, 0], [0, 0], [0, 1182066], [0, 0], [279999322, 0], [0, 0], [0, 572493], [0, 0], [719907150, 0], [0, 0], [0, 3542964], [0, 0], [-759598231, 0], [0, 0], [0, -5443874], [0, 0], [4776519398, 0], [0, 0], [0, -9638130], [0, 0], [-11091225600, 0], [0, 0], [0, 8403513], [0, 0], [-7479685282, 0], [0, 0], [0, -6758730], [0, 0], [-8309923980, 0], [0, 0], [0, 20644959], [0, 0], [3490486272, 0], [0, 0], [0, 5109006], [0, 0], [-21803168118, 0], [0, 0], [0, -592775], [0, 0], [25295542272, 0], [0, 0], [0, 63782028], [0, 0], [-39035014119, 0], [0, 0], [0, -116924421], [0, 0], [38270434220, 0], [0, 0], [0, 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0], [0, 9882944702217189], [0, 8121399355669995], [0, -7172341761640326], [-12586692630239590998, 0], [0, -309811414991592], [-13865531553173937062, 0], [0, -5956924022182707], [309450336820766374, 0], [-10188357845879536066, 0], [8693224452707945458, 0], [0, -18515579670898260], [-819696438442970006, 0], [13412073882507999254, 0], [0, 20153356654418214], [-16313452429900169298, 0], [3985097597266052162, 0], [0, 18223114691108787], [0, 21005267174557839], [-8384739382666798222, 0], [-11913190536145694650, 0], [0, -16810954258902303], [0, -34656165576655017], [2880856213754295018, 0], [13724400456469597166, 0], [0, 15051994050572208], [0, -17890071036828594], [-7605232558622504606, 0], [0, 23166115584015114], [-17000637713109526978, 0], [18869470574756979382, 0], [0, 16914553978412580], [0, 5244046733651529], [-12363797783897370758, 0], [-2527698067299329458, 0], [0, 25867035142068603], [8239754240079874298, 0], [0, -33748125916784655], [0, 31302746378827506]], 'char_orbit_index': 1, 'field_poly': [-68, -1, 1], 'hecke_orbit_code': 9007199456067616, 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 64], 'hecke_ring_inverse_numerators': [[1, 0], [32, 1]], 'hecke_ring_numerators': [[1, 0], [-32, 64]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '32.12.a.c', 'level': 32, 'maxp': 2999, 'weight': 12}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [6, 5], 'ALdims_eis_new': [0, 0], 'ALdims_eis_old': [4, 4], 'ALdims_old': [15, 14], 'Nk2': 4608, 'analytic_conductor': 24.586981777906843, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [32, 1, [31, 5], [1, 1]], 'conrey_index': 1, 'cusp_dim': 40, 'dim': 11, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 201326624, 'hecke_orbit_dims': [1, 2, 2, 3, 3], 'label': '32.12.a', 'level': 32, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': True, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2], 'level_radical': 2, 'mf_dim': 48, 'mf_new_dim': 11, 'num_forms': 5, 'plus_dim': 6, 'prim_orbit_index': 1, 'relative_dim': 11, 'sturm_bound': 48, 'trace_bound': 5, 'trace_display': [0, 0, 2642, 0], 'traces': [11, 0, 0, 0, 2642, 0, 0, 0, 442295, 0, 0, 0, 2841690, 0, 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0, 24572249305789824, 0, 0, 0, 225650995826082046, 0, 0, 0, 83323122761559494, 0, 0, 0, -15119542812024576, 0, 0, 0, -15931177841697970, 0, 0, 0, -105829830752969510, 0, 0, 0, 71591842991375360, 0, 0, 0, -124183795929800316, 0, 0, 0, -72221202431201170, 0, 0, 0, 338907941751599872, 0, 0, 0, 77051955796362475, 0, 0, 0, -9880715445321596, 0, 0, 0, -107220185109847296, 0, 0, 0, -113050601495581440, 0, 0, 0, 105897865436039606, 0, 0, 0, -291675387194180222, 0, 0, 0, -137112982598271412, 0, 0, 0, 318904708062244608, 0, 0, 0, 212985134679682688, 0, 0, 0, -29084225503241774, 0, 0, 0], 'weight': 12, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 25838
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '32.12.a.c', 'target_level': 32, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 12}
  • id: 25839
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': True, 'target_label': '32.12.a.c', 'target_level': 32, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 25840
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '64.12.a.i', 'target_level': 64, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '8.b', 'twisting_char_orbit': 2, 'weight': 12}
  • id: 25841
    {'conductor': 8, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 1, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '64.12.a.i', 'target_level': 64, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '8.d', 'twisting_char_orbit': 4, 'weight': 12}
  • id: 25842
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '256.12.b.i', 'target_level': 256, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '16.e', 'twisting_char_orbit': 5, 'weight': 12}
  • id: 25843
    {'conductor': 16, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 1, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': True, 'source_label': '32.12.a.c', 'source_level': 32, 'target_char_orbit': 2, 'target_dim': 4, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '256.12.b.i', 'target_level': 256, 'twist_class_label': '32.12.a.c', 'twist_class_level': 32, 'twisting_char_label': '16.f', 'twisting_char_orbit': 6, 'weight': 12}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 116600
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 2}
  • id: 116601
    {'charpoly_factorization': [[[-279552, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 3}
  • id: 116602
    {'charpoly_factorization': [[[-7030, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 5}
  • id: 116603
    {'charpoly_factorization': [[[-1217728512, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 7}
  • id: 116604
    {'charpoly_factorization': [[[-525457400832, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 11}
  • id: 116605
    {'charpoly_factorization': [[[1182066, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 13}
  • id: 116606
    {'charpoly_factorization': [[[-5443874, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 17}
  • id: 116607
    {'charpoly_factorization': [[[-440044375680000, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 19}
  • id: 116608
    {'charpoly_factorization': [[[-43582211592192, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 23}
  • id: 116609
    {'charpoly_factorization': [[[-164046494, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 29}
  • id: 116610
    {'charpoly_factorization': [[[-39141100317376512, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 31}
  • id: 116611
    {'charpoly_factorization': [[[-540226870, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 37}
  • id: 116612
    {'charpoly_factorization': [[[-279999322, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 41}
  • id: 116613
    {'charpoly_factorization': [[[-91622674604418048, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 43}
  • id: 116614
    {'charpoly_factorization': [[[-3509102731413307392, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 47}
  • id: 116615
    {'charpoly_factorization': [[[-4776519398, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 53}
  • id: 116616
    {'charpoly_factorization': [[[-19741691281755276288, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 59}
  • id: 116617
    {'charpoly_factorization': [[[7479685282, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 61}
  • id: 116618
    {'charpoly_factorization': [[[-119149068970484646912, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 67}
  • id: 116619
    {'charpoly_factorization': [[[-7296850176096079872, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 71}
  • id: 116620
    {'charpoly_factorization': [[[21803168118, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 73}
  • id: 116621
    {'charpoly_factorization': [[[-1137258656923064352768, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 79}
  • id: 116622
    {'charpoly_factorization': [[[-3821844911870536492032, 0, 1], 1]], 'hecke_orbit_code': 9007199456067616, 'p': 83}
  • id: 116623
    {'charpoly_factorization': [[[-22195771450, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 89}
  • id: 116624
    {'charpoly_factorization': [[[-100703232594, 1], 2]], 'hecke_orbit_code': 9007199456067616, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 3, 'label': '32.12.a.c', 'level': 32, 'portrait': 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', 'weight': 12}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 29259499
    {'hecke_orbit_code': 9007199456067616, 'n': 1, 'trace_an': 2}
  • id: 29259500
    {'hecke_orbit_code': 9007199456067616, 'n': 2, 'trace_an': 0}
  • id: 29259501
    {'hecke_orbit_code': 9007199456067616, 'n': 3, 'trace_an': 0}
  • id: 29259502
    {'hecke_orbit_code': 9007199456067616, 'n': 4, 'trace_an': 0}
  • id: 29259503
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